Study on Chinese Discourse Semantic Annotation Based on Semantic Dependency Graph

Semantic annotation of discourse is always one of most important tasks in natural language processing (NLP). We proposed a complex semantic representation mechanism for Chinese complex sentences. The semantic relations between sentences and between words can be represented as a semantic dependency graph by recursive directed graph. We studied the basic definition, the types of relations, and dependency direction of semantic dependence, and discussed the formal representation mechanism of semantic dependency from phrase-level, sentence-level and discourse-level. The semantic dependency graph model is characterized by allowing multiple correlations, allowing recursion and nesting, and formal representations are shown in recursive directed graph. The semantic dependency graph can more comprehensively represent the semantic relations between words and between the clauses in the discourse.